51e8d5554c
Moved WrappersMP/CallbacksMP/WrapperExecutor to patcher_extension.py
2024-11-02 22:21:16 -05:00
3bcbcce88d
Merge branch 'master' into patch_hooks
2024-10-31 18:34:05 -05:00
d5169df808
Added initial support within CLIP Text Encode (Prompt) node for scheduling weight hook CLIP strength via clip_start_percent/clip_end_percent on conds, added schedule_clip toggle to Set CLIP Hooks node, small cleanup/fixes
2024-10-30 04:56:09 -05:00
5cbb01bc2f
Basic Genmo Mochi video model support.
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To use:
"Load CLIP" node with t5xxl + type mochi
"Load Diffusion Model" node with the mochi dit file.
"Load VAE" with the mochi vae file.
EmptyMochiLatentVideo node for the latent.
euler + linear_quadratic in the KSampler node.
2024-10-26 06:54:00 -04:00
daeb2624a9
Fixed default conds not respecting hook keyframes, made keyframes not reset cache when strength is unchanged, fixed Cond Set Default Combine throwing error, fixed model-as-lora throwing error during calculate_weight after a recent ComfyUI update, small refactoring/scaffolding changes for hooks
2024-10-25 18:32:22 -05:00
4bbdf2bfe5
Merge branch 'master' into patch_hooks
2024-10-23 21:10:46 -05:00
f82314fcfc
Fix duplicate sigmas on beta scheduler.
2024-10-21 20:19:45 -04:00
1e2777bab1
Added uuid to conds in CFGGuider and uuids to transformer_options to allow uniquely identifying conds in batches during sampling
2024-10-08 17:52:01 -05:00
06fbdb03ef
Merge branch 'master' into patch_hooks
2024-10-05 06:43:43 -05:00
0c8bd63aa9
Added Combine versions of Cond/Cond Pair Set Props nodes, renamed Pair Cond to Cond Pair, fixed default conds never applying hooks (due to hooks key typo)
2024-09-27 14:42:50 +09:00
0f7d379d24
Refactored WrapperExecutor code to remove need for WrapperClassExecutor (now gone), added sampler.sample wrapper (pending review, will likely keep but will see what hacks this could currently let me get rid of in ACN/ADE)
2024-09-27 12:14:36 +09:00
09cbd69161
Added create_model_options_clone func, modified type annotations to use __future__ so that I can use the better type annotations
2024-09-25 20:29:49 +09:00
fd2d572447
Modified ControlNet/T2IAdapter get_control function to receive transformer_options as additional parameter, made the model_options stored in extra_args in inner_sample be a clone of the original model_options instead of same ref
2024-09-25 19:46:33 +09:00
479a427a48
Add dpmpp_2m_cfg_pp ( #4992 )
2024-09-24 02:42:56 -04:00
7c86407619
Refactored callbacks+wrappers to allow storing lists by id
2024-09-22 16:36:40 +09:00
5052a78be2
Added WrapperExecutor for non-classbound functions, added calc_cond_batch wrappers
2024-09-22 11:52:35 +09:00
59d72b4050
Added wrappers to ModelPatcher to facilitate standardized function wrapping
2024-09-20 20:05:29 +09:00
787ef34842
Continued work on simpler Create Hook Model As LoRA node, started to implement ModelPatcher callbacks, attachments, and additional_models
2024-09-19 11:47:25 +09:00
4b472ba44c
Added support for adding weight hooks that aren't registered on the ModelPatcher at sampling time
2024-09-17 06:22:41 +09:00
f5c899f42a
Fixed MaxSpeed and default conds implementations
2024-09-15 21:00:45 +09:00
9ded65a616
Added initial set of hook-related nodes, added code to register hooks for loras/model-as-loras, small renaming/refactoring
2024-09-15 08:33:17 +09:00
5dadd97583
Added default_conds support in calc_cond_batch func
2024-09-14 17:21:50 +09:00
f160d46340
Added call to initialize_timesteps on hooks in process_conds func, and added call prepare current keyframe on hooks in calc_cond_batch
2024-09-14 16:10:42 +09:00
9ae758175d
Added current_patcher property to BaseModel
2024-09-13 21:35:35 +09:00
3cbd40ada3
Initial changes to calc_cond_batch to eventually support hook_patches
2024-09-13 18:31:52 +09:00
b5d0f2a908
Add CFG++ to DPM++ 2S Ancestral ( #3871 )
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* Update sampling.py
* Update samplers.py
* my bad
* "fix" the sampler
* Update samplers.py
* i named it wrong
* minor sampling improvements
mainly using a dynamic rho value (hey this sounds a lot like smea!!!)
* revert rho change
rho? r? its just 1/2
2024-09-11 02:49:44 -04:00
bb52934ba4
Fix import issue ( #4815 )
2024-09-07 05:28:32 -04:00
2622c55aff
Automatically use RF variant of dpmpp_2s_ancestral if RF model.
2024-08-18 00:47:25 -04:00
1beb348ee2
dpmpp_2s_ancestral_RF for rectified flow (Flux, SD3 and Auraflow).
2024-08-18 00:33:30 -04:00
63a7e8edba
More aggressive batch splitting.
2024-08-03 11:53:30 -04:00
95fa9545f1
Only append zero to noise schedule if last sigma isn't zero.
2024-07-20 12:37:30 -04:00
6ab8cad22e
Implement beta sampling scheduler.
...
It is based on: https://arxiv.org/abs/2407.12173
Add "beta" to the list of schedulers and the BetaSamplingScheduler node.
2024-07-19 18:05:09 -04:00
f1a01c2c7e
Add sampler_pre_cfg_function ( #3979 )
...
* Update samplers.py
* Update model_patcher.py
2024-07-09 16:20:49 -04:00
05e831697a
Switch to the real cfg++ method in the samplers.
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The old _pp ones will be updated automatically to the regular ones with 2x
the cfg.
My fault for not checking what the "_pp" samplers actually did.
2024-06-29 11:59:48 -04:00
44947e7ad4
Add DEIS order 3 sampler.
...
Order 4 seems to give bad results.
2024-06-26 22:40:05 -04:00
69d710e40f
Implement my alternative take on CFG++ as the euler_pp sampler.
...
Add euler_ancestral_pp which is the ancestral version of euler with the
same modification.
2024-06-25 07:41:52 -04:00
d5efde89b7
Add ipndm_v sampler, works best with the exponential scheduler.
2024-06-20 08:51:49 -04:00
e11052afcf
Add ipndm sampler.
2024-06-19 16:32:30 -04:00
a5e6a632f9
Support sampling non 2D latents.
2024-06-10 01:31:09 -04:00
f81a6fade8
Fix some edge cases with samplers and arrays with a single sigma.
2024-05-01 17:05:30 -04:00
7990ae18c1
Fix error when more cond masks passed in than batch size ( #3353 )
2024-04-26 12:51:12 -04:00
0f5768e038
Fix missing arguments in cfg_function.
2024-04-04 23:38:57 -04:00
1a0486bb96
Fix model needing to be loaded on GPU to generate the sigmas.
2024-04-04 22:08:49 -04:00
c6bd456c45
Make zero denoise a NOP.
2024-04-04 11:41:27 -04:00
fcfd2bdf8a
Small cleanup.
2024-04-04 11:16:49 -04:00
0542088ef8
Refactor sampler code for more advanced sampler nodes part 2.
2024-04-04 01:26:41 -04:00
57753c964a
Refactor sampling code for more advanced sampler nodes.
2024-04-03 22:09:51 -04:00
e6482fbbfc
Refactor calc_cond_uncond_batch into calc_cond_batch.
...
calc_cond_batch can take an arbitrary amount of cond inputs.
Added a calc_cond_uncond_batch wrapper with a warning so custom nodes
won't break.
2024-04-01 18:07:47 -04:00
0624838237
Add inverse noise scaling function.
2024-03-21 14:49:11 -04:00
f2fe635c9f
SamplerDPMAdaptative node to test the different options.
2024-03-15 22:36:10 -04:00
Jedrzej Kosinski
comfyanonymous
chaObserv
yoinked
Jim Winkens
Ashen
Extraltodeus